Comprehending and analyzing agent behavior is an arduous task due to complexities in agent systems and sophistication of agent behaviors, in addition to the common difficulties wi...
Similarity-based grouping of data entries in one or more data sources is a task underlying many different data management tasks, such as, structuring search results, removal of red...
Abstract. Reduction of chip packaging and cooling costs for deep sub-micron SystemOn-Chip (SOC) designs is an emerging issue. We present a simulation-based methodology able to real...
Abstract. Despite more then 30 years of research on protocol specification, the major protocols deployed in the Internet, such as TCP, are described only in informal prose RFCs and...
Machine learning techniques are increasingly being used to produce a wide-range of classifiers for complex real-world applications that involve nonuniform testing costs and miscl...